High-Frequency Trading Algorithms Improve Efficiency but Risk Market Stability | HackerNoon
Briefly

High-frequency trading (HFT) algorithms, which originated in the mid-90s, dominate global markets by exploiting market signals quickly through automated, high-speed trading.
HFT algorithms, while improving market efficiency by acting as market makers, can lead to behavioral cascades and market instability due to their correlated actions.
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